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AWS Lake Formation vs Amazon Redshift comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 4, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon Redshift
Ranking in Cloud Data Warehouse
9th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
72
Ranking in other categories
Data Warehouse (5th), Database Management Systems (DBMS) (8th)
AWS Lake Formation
Ranking in Cloud Data Warehouse
8th
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 6.9%, down from 7.0% compared to the previous year. The mindshare of AWS Lake Formation is 4.7%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
AWS Lake Formation4.7%
Amazon Redshift6.9%
Other88.4%
Cloud Data Warehouse
 

Featured Reviews

PK
Analyst at Cepstrum(EEE Students Society), IIT Guwahati
Handles large data efficiently but initial setup can be complex
The most valuable features of Amazon Redshift include everything being integrated within Amazon, making it really easy to run queries faster, allowing us to retrieve data as soon as possible compared to other tools. Its friendly functionality connects with all tools linked to Amazon, and the data retrieval is very fast, making it a good warehousing tool. The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly. Scalability is the best feature of Amazon Redshift. Amazon Redshift handles scalability automatically, so we do not need to scale up or down; it is all managed by Redshift.
Ciro Baldim Guerra - PeerSpot reviewer
Sr Analytics Engineer at Itau Unibanco S.A.
Has improved data governance by enabling clear ownership and structured access across teams
In my company, Itaú, we don't utilize all AWS offerings due to rigorous security measures. We operate approximately six to eight months behind other available services. I'm uncertain if gaps exist because of this limitation, though the system functions effectively for us. AWS Lake Formation offers column-level access control for databases, but we haven't implemented this feature either because it hasn't been approved by our compliance, governance, or security areas. In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions. However, I struggle to identify specific improvements needed in AWS Lake Formation.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."
"Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift."
"The initial setup is easy."
"You can copy JSON to the column and have it analyzed using simple functions."
"It is very easy to dump data into the tool."
"The seamless connection and good scalability on the cloud are valuable features of Amazon Redshift."
"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."
"The solution's speed, stability, and user concurrency have been very good."
"AWS Lake Formation significantly improves the structure of the data mesh, making it superior to previous structures we used."
"AWS Lake Formation significantly improves the structure of the data mesh, making it superior to previous structures we used."
"AWS Lake Formation has several valuable features that enhance data management, and one particularly beneficial aspect is how it facilitates better collaboration within data teams."
"The most important advantage in using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS. This is what I advise my clients."
"A favorite feature of AWS Lake Formation is that it provides us with visibility into who has access to a particular table or database in Glue."
"I can easily move data from cold storage to regular storage."
"The features and capabilities of AWS Lake Formation that I have found most valuable are that it is really convenient to see all the different data assets that were configured and understand who has and what type of service has or does not have access to those services."
"The solution has many features that are applicable to events such as audits."
 

Cons

"The customer support could be more responsive."
"It would be nice if we could turn off an instance. However, it would retain the instance in history, thus allowing us to restart without beginning from scratch."
"In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic."
"Pricing is one of the things that it could improve. It should be more competitive."
"The high price of the product is an area of concern where improvements are required."
"When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."
"Improvement in the immediate response and the process of getting into a call could be helpful."
"I rate their support seven out of ten. It's costly when you enable support. The price is high for technical support."
"In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions."
"For the end-users, it's not as user-friendly as it could be."
"The main challenge we faced with AWS Lake Formation was related to cross-account sharing. Granting access to other AWS accounts for tables or databases in a different AWS account was somewhat difficult."
"AWS Lake Formation's pricing could be cheaper."
"You need to have data experience to use the product."
"The solution could make improvements around orchestration and doing some automation stuff on AWS front automation. It would be useful if we could use automation to build images and use hardened images which are CIS compliant."
"In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions."
"I think AWS Lake Formation could improve by enforcing the least privilege by design, moving from ad hoc grants to role-based access controls."
 

Pricing and Cost Advice

"The best part about this solution is the cost."
"If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
"The product is quite expensive."
"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."
"The cost is comparable to Snowflake."
"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
"The solution has very competitive pricing."
"It's pay per use. You can have multiple models."
"AWS Lake Formation is a bit expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
10%
Computer Software Company
10%
Media Company
6%
Financial Services Firm
23%
Manufacturing Company
8%
Retailer
7%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise21
Large Enterprise28
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise15
 

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Amazon Redshift?
The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.
What is your experience regarding pricing and costs for AWS Lake Formation?
I don't understand much about the pricing of AWS Lake Formation, but I know how to search for the cost of Glue jobs, and I use the calculator in Amazon. I use a tool to preview the cost based on th...
What needs improvement with AWS Lake Formation?
Regarding areas of AWS Lake Formation that could be improved or enhanced, I prefer not to answer, mainly because I do not believe that I would be the most valuable person to ask, as I have not used...
What is your primary use case for AWS Lake Formation?
My usual use cases for AWS Lake Formation involved securing and governing the data resources that we configured in AWS, but we did not use the analytics or machine learning capabilities specificall...
 

Overview

 

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Find out what your peers are saying about AWS Lake Formation vs. Amazon Redshift and other solutions. Updated: March 2026.
884,732 professionals have used our research since 2012.